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Paper Citation Record · LEDGER

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models

As of 11 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2608.07620.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.07620 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:35:17.954974Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc37c5ec-7b97-4897-bf2b-c2e29faa3525 · outbound

This paper cites an unresolved cited work.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-11T00:35:18.378067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:35:17.917894Z digest=sha256:82c3acef1488c3df4e88e9555a96bc09af6b89300bb3ac450bb1b52ab56c0935

Observation 159128f2-ba24-45a5-8c73-8bf2e7070094 · outbound

This paper cites InForty- second International Conference on Machine Learning.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models InForty- second International Conference on Machine Learning

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-11T00:35:18.420810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:35:17.868296Z digest=sha256:f45aa6a06162baafabfc15f615d00d403b1ca0b67fd6ecda818a08bcc7b92c7b

Observation 315c9452-7719-455c-9e9e-c51c534e981c · outbound

This paper cites InProceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society,363–374.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models InProceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society,363–374

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:35:18.406351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:35:17.882896Z digest=sha256:a64e23d5f0ac06d0f3bd1537d19b86741341524db9fbad1e3145cedb5fcfd342

Observation 8ee7d1cf-53b2-4b13-b382-a444f09ac71a · outbound

This paper cites R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T00:35:17.887149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.887149Z digest=sha256:608bbedeaeaf7cd839176a7e47185c4af7990ecb9326a90c33c1cde315351307

Observation 6efd8ed8-03c8-4c48-b6db-c3cf3b5df45e · outbound

This paper cites Lin, T.-Y.; Maire, M.; Belongie, S.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Lin, T.-Y.; Maire, M.; Belongie, S

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:35:18.390286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:35:17.896688Z digest=sha256:c22422a00c302b384db6b495476928d2b4fed278bbe69cefd204858803f4c3ec

Observation f046ddf0-677f-46a6-81ea-8dfe6f9f5e56 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T00:35:17.905218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.905218Z digest=sha256:6f7f31633bae745230ee47d411f5f8db71d1682281cc0a2b7915532f804953fd

Observation bf32c564-c908-4e26-a768-bf817b6a38eb · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 14

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no resolver link, observed 2026-08-11T00:35:17.913798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.913798Z digest=sha256:6f6b3781a2c45a65c11777245e338147f3f55e307529b3b68492a2e536563774

Observation 25d6b2f8-a467-4f49-ac51-b7d843fc9186 · outbound

This paper cites L.; Ghasemipour, K.; Gontijo Lopes, R.; Karagol Ayan, B.;Salimans,T.;etal.2022.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models L.; Ghasemipour, K.; Gontijo Lopes, R.; Karagol Ayan, B.;Salimans,T.;etal.2022

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:35:18.364797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:35:17.921902Z digest=sha256:2fc9ccf9494fd6ad44a4e1e20ddbb92d845816f5bd64042d3cbf3bb4e97b9645

Observation f863f6cd-8fad-4865-9f62-9d46be93ef75 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Progressive Distillation for Fast Sampling of Diffusion Models

Reference 17

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unresolved
no resolver link, observed 2026-08-11T00:35:17.925752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.925752Z digest=sha256:98c1616f366b9fc76651ad42f92683cdcc9db4d4e1ebb3af40f07f21dfb4dd80

Observation bfd0f0b5-88f4-42d5-902b-b62eb0d2d28c · outbound

This paper cites Denoising Diffusion Implicit Models.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Denoising Diffusion Implicit Models

Reference 18

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unresolved
no resolver link, observed 2026-08-11T00:35:17.929654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.929654Z digest=sha256:6d0f637b791656ef133ff71e93d7f248b3621346a68d8e1c156c454068dba29d

Observation ad48ea99-c166-4c6e-aa0d-744de3f97a9a · outbound

This paper cites InInternational Conference on Learning Representations, volume 2024, 15078–15097.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models InInternational Conference on Learning Representations, volume 2024, 15078–15097

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:35:18.351927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:35:17.933605Z digest=sha256:287299a949c6e3452464a37e5fd76058ec80e5f9dac0e04cab12fcb98a6dad9d

Observation ade620b8-f179-49ba-ab2f-239ed920e716 · outbound

This paper cites FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T00:35:18.179082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:35:17.937479Z digest=sha256:e020e1f4b69b0bbab02e3d311ee75b948aa28cd6cccd4e69192eee2c285d9bf9

Observation cb9ac40e-fa21-4566-9365-82f0027f05b3 · outbound

This paper cites Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T00:35:17.941769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.941769Z digest=sha256:39929f1b0d09583357cc83b32fe3db2f4e24d1ea506a13ead2b8eca9e16a0cdc

Observation 41aa84dc-d28d-444f-b91f-3f270a5d69d4 · outbound

This paper cites 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 7737–7746.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 7737–7746

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:35:18.337384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:35:17.946591Z digest=sha256:bbe2df343ce6eff430df0c7325fe879ad1458ffc40e07d7ff05f7aebf7b3c6d4

Observation 47c9bbbb-0899-4247-a960-fed085637e34 · outbound

This paper cites ArXiv, abs/2602.01089.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models ArXiv, abs/2602.01089

Reference 23

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unresolved
no resolver link, observed 2026-08-11T00:35:17.950694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.950694Z digest=sha256:9a2fcbd29e801538ac8b21af78d5bc4243180c244f71398f33aa9a89a6e9a513

Observation 3611f076-977b-45b8-a5e5-66156cf4b28d · outbound

This paper cites Nudity”andthemostsimilarpromptsthatdonot containthe“Nudity.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Nudity”andthemostsimilarpromptsthatdonot containthe“Nudity

Reference 24

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no resolver link, observed 2026-08-11T00:35:17.954974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.954974Z digest=sha256:8d7b4404e1cdad7bb742220fda829042f7bfadd6fdf688bb94ef0559fbe8faea

Observation 1abeb92c-19a1-496f-889d-8cf2724c6f10 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 25

Resolution
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no resolver link, observed 2026-08-11T00:35:17.909674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.909674Z digest=sha256:e39b1673b730d7159a9cab3f96ee0ac768b0c84836d31d3f0e18dc9b8984abd7

Observation ca98715a-3405-46c7-8aff-dab0f882f4df · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 2017

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no resolver link, observed 2026-08-11T00:35:17.872829Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.872829Z digest=sha256:b7473fa3e6c2d92bf9554897a3718c6da73be26696251de6d76f654f6283a194

Observation 7ad3eaa1-4fb9-4578-ad09-0edd8bf75cf9 · outbound

This paper cites Classifier-Free Diffusion Guidance.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Classifier-Free Diffusion Guidance

Reference 2020

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no resolver link, observed 2026-08-11T00:35:17.877642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.877642Z digest=sha256:7478834f7925e2a9feea40815c4f4bc0fa273daa0f30e0c0e08d7daa5b76f43f

Observation 8cd729e6-093f-4229-9d56-56188767078a · outbound

This paper cites Flow Matching for Generative Modeling.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Flow Matching for Generative Modeling

Reference 2022

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no resolver link, observed 2026-08-11T00:35:17.900826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.900826Z digest=sha256:481c810bde1318c482b4eae14e8010e040218a2676520fcf9a55841e60cab0a4

Observation c5d960d4-9fc5-4c2d-8f3d-d8af3a71421f · outbound

This paper cites Gandikota,R.;Orgad,H.;Belinkov,Y.;Materzyńska,J.;and Bau, D.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models Gandikota,R.;Orgad,H.;Belinkov,Y.;Materzyńska,J.;and Bau, D

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:35:18.435728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:35:17.863106Z digest=sha256:c0ac5466b0703553f5f63b7a159bab748bf5e96cbf8b93336ed285cccf2f9de4

Observation b9a3dbd6-7a99-4c6e-a015-ce104eeb1fa4 · outbound

This paper cites ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning

Reference 2024

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no resolver link, observed 2026-08-11T00:35:17.852398Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.852398Z digest=sha256:49f569a468555c148677bc15980ec54d91f59253a1e40d41034b983e48fc63e4

Observation a00b018b-93be-4ea7-9531-61a5671d7985 · outbound

This paper cites SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Reference 2025

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no resolver link, observed 2026-08-11T00:35:17.858011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.858011Z digest=sha256:e6209ae0e9bafd3e941a8aeddafb7567fa8093553c3a10f07f50c4bfd3db84c5

Observation 90455112-0861-43ef-aa84-ec863ead1ef8 · outbound

This paper cites DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models.

FlowErase-OPD: Multi-Concept Erasure via Anchored On-Policy Distillation in Flow Matching Models DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models

Reference 2026

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no resolver link, observed 2026-08-11T00:35:17.891999Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:17.891999Z digest=sha256:2b6171ba9f0480bea2d759514672423d097d7d0a56454eae01475297596ed0dc

Pith citing papers

No inbound Pith citation observations are available.